TY - GEN
T1 - Attending to motion
T2 - 2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002
AU - Tsotsos, John K.
AU - Pomplun, Marc
AU - Liu, Yueju
AU - Martinez-Trujillo, Julio C.
AU - Simine, Evgueni
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
PY - 2002
Y1 - 2002
N2 - The Selective Tuning Model is a proposal for modelling visual attention in primates and humans. Although supported by significant biological evidence, it is not without its weaknesses. The main one addressed by this paper is that the levels of representation on which it was previously demonstrated (spatial Gaussian pyramids) were not biologically plausible. The motion domain was chosen because enough is known about motion processing to enable a reasonable attempt at defining the feedforward pyramid. The effort is unique because it seems that no past model presents a motion hierarchy plus attention to motion. We propose a neurally-inspired model of the primate visual motion system attempting to explain how a hierarchical feedforward network consisting of layers representing cortical areas VI, MT, MST, and 7a detects and classifies different kinds of motion patterns. The STM model is then integrated into this hierarchy demonstrating that successfully attending to motion patterns, results in localization and labelling of those patterns.
AB - The Selective Tuning Model is a proposal for modelling visual attention in primates and humans. Although supported by significant biological evidence, it is not without its weaknesses. The main one addressed by this paper is that the levels of representation on which it was previously demonstrated (spatial Gaussian pyramids) were not biologically plausible. The motion domain was chosen because enough is known about motion processing to enable a reasonable attempt at defining the feedforward pyramid. The effort is unique because it seems that no past model presents a motion hierarchy plus attention to motion. We propose a neurally-inspired model of the primate visual motion system attempting to explain how a hierarchical feedforward network consisting of layers representing cortical areas VI, MT, MST, and 7a detects and classifies different kinds of motion patterns. The STM model is then integrated into this hierarchy demonstrating that successfully attending to motion patterns, results in localization and labelling of those patterns.
UR - https://www.scopus.com/pages/publications/84931340879
UR - https://www.scopus.com/pages/publications/84931340879#tab=citedBy
U2 - 10.1007/3-540-36181-2_44
DO - 10.1007/3-540-36181-2_44
M3 - Conference contribution
AN - SCOPUS:84931340879
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 439
EP - 452
BT - Biologically Motivated Computer Vision - 2nd International Workshop, BMCV 2002, Proceedings
A2 - Bulthoff, Heinrich H.
A2 - Wallraven, Christian
A2 - Lee, Seong-Whan
A2 - Poggio, Tomaso A.
PB - Springer Verlag
Y2 - 22 November 2002 through 24 November 2002
ER -